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Semantic ID Modeling
Towards Scalable Semantic Representation for Recommendation
Published:10/12/2024
LLM-based Recommendation SystemsSemantic ID ModelingHigh-Dimensional Embedding Dimensionality ReductionMixture-of-Codes for RecommendationRecommendation System Performance Enhancement
This study introduces the MixtureofCodes (MoC) method to address dimensionality compression when integrating LLM embeddings into recommendation systems. By constructing multiple independent codebooks and incorporating a fusion module, MoC significantly enhances the discriminabi
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Masked Diffusion for Generative Recommendation
Published:11/28/2025
Generative Recommendation SystemsMasked Diffusion ModelSemantic ID ModelingSequential Recommender SystemsAutoregressive Modeling
This paper introduces Masked Diffusion for Generative Recommendation (MADRec), which models user interaction sequences using discrete masking noise, outperforming traditional autoregressive models in efficiency and performance, particularly in datarestricted and coarsegrained r
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